Do macroeconomic decisions and indexes have a direct effect on major layoffs in the technology sector from 2000 to 2023?
Project Author
Issue Date
2024-05-07
Authors
Gantulga, Tuguldurnemekh
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First Reader
Bianco, Timothy P.
Additional Readers
Kapfhammer, Gregory
Keywords
VAR , Software Testing , Software Dashboard , Containerization , Regression Analysis , OOP
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Abstract
Although the unemployment rate was at its lowest in 2023 as of September, there needed to be an explanation as to why the hundreds of thousands of tech company layoffs from 2021 to 2023 seemed to have minimal impact and, most importantly, why they happened. This paper identified the most important key macroeconomic variables that contributed to the layoffs of technology workers, without delving into the smaller details related to the companies.
While there had been some research done similar to mine, those studies mainly focused on microeconomic variables. For example, these variables included company product or service demand, restructuring of a company, and financial issues within the company. Thus, these previously mentioned variables provided information that was closely related to the specific company itself. What I demonstrated and did in this paper included examining macroeconomic variables such as interest rates, monetary policy, and, on a larger scale, how these major decisions and factors affected the firms' layoffs. Not only that, through this research, I developed a dashboard web application using Streamlit that displayed my findings, such as regression graphs and correlation plots.
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Major
Computer Science
Economics
Economics
Department
Computer and Information Science
Business and Economics
Business and Economics
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Honors
Business and Economics, 2024